Cloud Solutions Architect Job at Everest Consulting Group Inc, Bellville, TX

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  • Everest Consulting Group Inc
  • Bellville, TX

Job Description

HHSC has issued a request for a Cloud Solutions Architect with AI/ML and Deep Learning experience .

 

Responsibilities include (but are not limited to):

  • Design and implement scalable, secure, and resilient cloud infrastructure while developing and executing migration strategies.
  • Provide technical guidance, and drive innovation through emerging technologies like AI/ML.
  • Enforce security and compliance standards while continuously optimizing cloud system performance for scalability and reliability.

 

Minimum Candidate Characteristics:

  • 10+ years of cloud architect experience (GCP, Azure, AWS)
  • 8+ years of AI/ML and Deep Learning experience

 

Exceptional Candidate Characteristics:

  • Prior HHS agency or public health experience
  • Proficient in virtual networks, VPNs, load balancers, IAM, encryption, and compliance frameworks (GDPR, HIPAA) with hands-on experience in cloud security best practices.
  • Skilled in CI/CD pipelines, containerization (Docker, Kubernetes), IaC tools (Terraform, CloudFormation), and programming languages (Python, Java, C#) for automation and cloud-native app development.

I. DESCRIPTION OF SERVICES

 

The cloud solution architect will be responsible for:

  • Design, develop and maintain cloud architecture that aligns with business goals and technical requirements.
  • Design scalable, secure, and resilient cloud infrastructure that ensure best practices in cloud architecture.
  • Assess the current infrastructure and identify components suitable for cloud migration. Develop a comprehensive migration strategy, including timelines and resource allocation.
  • Implement and validate the migration, ensuring data integrity and system functionality.
  • Ensure cloud architecture complies with industry standards and regulatory requirements.
  • Implement security measures to protect data and applications in the cloud.
  • Monitor cloud system performance and identify areas for improvement.
  • Implement solutions to enhance performance, scalability, and reliability.
  • Collaborate with stakeholders to understand business needs and translate them into technical solutions.
  • Provide guidance and support to other IT team members on cloud technologies and best practices.
  • Stay updated with the latest cloud technologies and industry trends.
  • Identify opportunities for innovation and improvement in cloud architecture and services.
  • Guide technical and business decision-makers on AI/Machine Learning/Deep Learning and generative AI projects, helping to map Azure, Google and AWS services.
  • Analyze the services to extract technical and business insights that drive reference architectures, runbooks, and training content.

 

II. CANDIDATE SKILLS AND QUALIFICATIONS

 

Minimum Requirements:
Candidates that do not meet or exceed the minimum stated requirements (skills/experience) will be displayed to customers but may not be chosen for this opportunity.

Years

Required/Preferred

Experience

10

Required

experience architecting enterprise application solutions across on-premises and cloud infrastructure

10

Required

architecting solutions in one or more of the cloud platforms: GCP, Azure, and AWS.

8

Required

developing cloud native application architectures across leading cloud platforms.

8

Required

architecting solutions that utilize fit-for-purpose service models such as IaaS, PaaS, and SaaS

8

Required

experience in all phases of Machine Learning, Artificial Intelligence and Deep Learning solutions using Azure or AWS or google technologies.

8

Preferred

Strong understanding of virtual networks, VPNs, DNS, load balancers, and firewalls.

8

Preferred

Understanding of cloud security frameworks, encryption, identity and access management (IAM), and compliance standards like GDPR, HIPAA, etc.

8

Preferred

Familiarity with CI/CD pipelines, containerization (Docker, Kubernetes), and infrastructure as code (IaC) tools like Terraform or CloudFormation.

8

Preferred

Proficiency in languages such as Python, Java, C#, and scripting languages for automation.

8

Preferred

Knowledge of API design, development, and management, including RESTful and SOAP APIs.

8

Preferred

Knowledge of microservices, serverless architectures, and cloud-native application development.

8

Preferred

Ability to analyze and optimize cloud costs while maintaining performance and reliability.

8

Preferred

Excellent verbal and written communication skills to articulate cloud strategies and solutions to stakeholders.

8

Preferred

Ability to work effectively with cross-functional teams, including developers, administrators, and business leaders.

8

Preferred

Skills in monitoring and analyzing system performance to ensure optimal cloud operations.

6

Preferred

Experience with Azure Machine Learning, Azure Cognitive Services, or AWS technologies like SageMaker, Redshift, EC2, Data Pipeline, Kinesis, EMR, and AI services like Transcribe etc or Google technologies like Vertex AI platform, Agent Builder, and othe

1

Preferred

Cloud Certification eg • AWS Certified Solutions Architect, Azure Solutions Architect Expert or Google Professional Cloud Architect

 

 

Job Tags

Contract work, Remote job,

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